![]() ![]() The company, which releases thousands of tracks weekly on platforms like Spotify, Apple Music and Amazon Music, also has an ambitious growth strategy in place for its distribution services. ![]() This investment follows LANDR recently crossing the 2.5 million artist milestone, mastering, releasing and promoting over 12 million tracks for artists in 160 countries around the world. Since launching in 2014, LANDR has revolutionized the music-making process, and made studio quality sound more accessible for musicians and audio professionals of all levels. #LANDR AUDIO SERIES#This Series B will allow us to take our knowledge and expertise in music technology to new market shifting directions," says LANDR CEO Pascal Pilon. #LANDR AUDIO PLUS#"Having the support of established music companies like Sony, Shure and Warner as well as music industry investors such as Plus Eight and Slaight is a vote of confidence, and marks the start of a new chapter for LANDR. New products and innovation will also be a key area of focus, as LANDR continues to add powerful features to its platform. It will use this new capital to accelerate its growth, expand into new markets and further capitalize on its position as a leader in music AI. The company received $7 million as an initial convertible note from Investissement Québec and other investors, followed by an additional $19 million of equity from the above mentioned group of investors. The round was led by Sony Innovation Fund, microphone manufacturer Shure, state-owned financing corporation Investissement Québec and Fonds de solidarité FTQ, with investments from Warner Music, Plus Eight Equity Partners, Slaight Communications, YUL Ventures and PEAK Capital Partners. ![]() The AI approach helps us solve the problem like a machine would – for a more faithful emulation.MONTREAL and LOS ANGELES, CA, J/CNW Telbec/ - LANDR, the AI-powered creative platform for musicians, announced the successful closing of its Series B financing round today, raising $26 million. Re-creating an ‘analog-style’ signal path in DSP is thinking about the problem like a human. To get a computer to behave in a certain way, it helps to think like it does. But the reality is that ‘analog’ and ‘digital’ are two fundamentally different domains. This process may sound overly digital for a plugin that brings an analog sound. Once these differences have been learned by the AI, we can apply them to new audio. processed audio and teaching it to identify the exact characteristics that make up the difference. This happens by feeding an algorithm various training data of dry vs. Where a normal DSP emulation would entail ‘guesstimating’ the effect of various analog components and their mutual dependencies, we can use AI / neural networks to accurately decipher the sonic characteristics that make a tape machine sound and behave in the way it does. It just needs to be used genuinely and with a legitimate purpose.įor a hardware emulation project like TAIP, AI offers an alternative (and in our opinion more faithful) approach over the traditional DSP method. But we believe it’s the future of music technology. ‘AI’ is an overused - and often misused - term.
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